如何在lightGBM中设置metric输出的频率？

Question

文档上说我们可以设置参数metric_freq来设置频率。我也试过参数verbose，参数设置为

params = {
    'task': 'train',
    'boosting_type': 'gbdt',
    'objective': 'binary',
    'metric': { 'binary_logloss'},
    'metric_freq':10,
    'num_leaves': 511,
    'max_depth':8,
    'learning_rate': 0.1,
    'feature_fraction': 1,
    'bagging_fraction': 0.8,
    'bagging_freq': 1,
    'verbose':10
}

但是，我还是得到了如下结果，

[1] valid_0's binary_logloss: 0.607487
Train until valid scores didn't improve in 5 rounds.
[2] valid_0's binary_logloss: 0.537403
[3] valid_0's binary_logloss: 0.479081
[4] valid_0's binary_logloss: 0.429961
[5] valid_0's binary_logloss: 0.388182
[6] valid_0's binary_logloss: 0.35239
[7] valid_0's binary_logloss: 0.321529
[8] valid_0's binary_logloss: 0.294795
[9] valid_0's binary_logloss: 0.271543
[10]    valid_0's binary_logloss: 0.251267
[11]    valid_0's binary_logloss: 0.233531
[12]    valid_0's binary_logloss: 0.217997
[13]    valid_0's binary_logloss: 0.204344

这表明参数metric_freq根本不起作用。那么哪个参数是用来设置输出频率的呢？
在R中，我们可以使用eval_freq，但是python包装器中没有eval_freq参数！

Answer 1

尝试将 verbose_eval=10 作为关键字参数（而不是在参数中）。

如何在lightGBM中设置metric输出的频率？

How to set the frequency of metric output in lightGBM?

python

data-mining

lightgbm